Pricing & Elasticity
What is price testing for restaurants?
Price testing is trying a price change in a subset of stores and measuring customer response before rolling it out system-wide. A valid test compares test stores against carefully matched control stores — locations with similar volume, market, and trend — so that the difference in performance can be attributed to the price change rather than to weather, seasonality, or local noise.
The most common failure mode is an invalid comparison: test stores measured against last year, against the system average, or against control stores that were never actually comparable. Any of those can make a bad price change look fine or a good one look like a failure.
A well-run test defines success metrics up front (item volume, attach behavior, check, traffic), runs long enough to see repeat-visit effects rather than just the first week's reaction, and reads results at the item level, because a change can be neutral on total sales while quietly damaging a destination item.
Why it matters
System-wide price mistakes are expensive and slow to detect. A disciplined test turns a bet-the-brand decision into a contained experiment with a clear read, and every test enriches the price-response history that future elasticity models learn from.
How Quantiiv Puts This to Work
Pricing Experimentation
“We want to try a price change at some stores first. How do we set that up so the result actually means something?”
See the solutionPrice Impact Measurement
“We took a price increase and sales are up. How do we know the increase worked and did not just ride a good quarter, or quietly cost us traffic?”
See the solutionStop Fighting Your Data.
Start Using It.
Transform fragmented restaurant data into actionable insights—with just an email to ROGER.
400+
Locations Served
15+
POS Integrations
10hrs
Saved Per Week
Powered by Quantiiv
Enterprise Restaurant Intelligence